资源列表
ssvd-0.2.5.tar
- 是一个矩阵的奇异值分解算法的源码包，是在SVDPACKC的基础上进行的封装，典型应用是在LSI算法中用来降维生成一个小的语义空间。-is a matrix of the singular value decomposition algorithm source package is SVDPACKC conducted on the basis of the package, the typical application is in the LSI algorithm used to gene
fcm
- 该文件是有关fcm的Ｍatlab仿真算法，数据集为一随即数据集．-the paper is on the FCM Matlab simulation algorithm, data was collected for one data set.
CcodeofHMM
- 隐马尔可夫模型的C语言实现，经过测试准确，有要的 快下-Hidden Markov Model C language, the test accurately and quickly to the next
zhiwenshibie
- 指纹识别 C代码，有喜欢的快点下，本人的毕业设计-Fingerprint Identification C code, like the quick, I graduated from the Design
JAXPDOMTest
- 使用JAXP获得DOM解析器的基本原理与获得SAX是相同的，例子使用JAXP来获取一个DOM解析器组件。-use JAXP parser access to the DOM and access to the basic tenets of SAX is the same, examples use JAXP access to a DOM parser components.
Wiley.Interscience.Practical.Genetic.Algorithms.Ma
- 2004年出版的遗传算法Wiley.Interscience.Practical.Genetic.Algorithms.May.2004.eBook-LinG.pdf-2004 published the genetic algorithm Wiley.Interscience.Practical.Genetic.Algorithms.May.2004.eBook - LinG.pdf
vinar_filter
- 利用计算机编程实现加性干扰信号的维纳滤波。将计算机模拟实验结果与理论分析结果相比较，分析影响维纳滤波效果的各种因素，从而加深对维纳滤波的理解。-computer programming additive interference signal the Wiener filter. Computer simulation results with the theoretical results of the analysis, compared Wiener filtering analysis
Adaline_lms
- 通过试验了解Adaline的工作原理。与采用硬限幅函数的单个神经元模型进行对比，比较异同-test Adaline understand the principle. Using hardware limiting function of a single neuron model compared to compare similarities
Kosko
- 了解Kosko型双向联想记忆网络的原理与结构，掌握具体实现方法-understanding Kosko-directional Associative Memory Networks principle and the structure have specific method
njie
- n阶魔方完美版 没什么好说的，大家看吧-n-Cube perfect version nothing more to be said, everyone sees.
LabColorSegmentation
- lab颜色模型下的图像分割方法，在matlab下编写，对生物图像很有用的。-lab model of color image segmentation methods in Matlab to prepare for biological images very useful.
IdentifyingRoundObjects
- 识别飞行的圆形目标，在Matlab下编写，很有参考价值。-circular flight identification, prepared in Matlab, great reference value.